2 Presenting and Summarising the Data
2 Cross-validation | Resampling method
Error metrics for multi-class problems in R: beyond Accuracy and Kappa | R-bloggers
Machine Learning Evaluation Metrics in R
Chapter 3 Classification: Basic Concepts and Techniques | An R Companion for Introduction to Data Mining
5 Model Training and Tuning | The caret Package
Find the best predictive model using R/caret package/modelgrid | DataScience+
Linear Classification Models – Hepatic Dataset | R-bloggers
A stacking ensemble deep learning approach to cancer type classification based on TCGA data
Introduction to Data Analysis in R - Machine Learning Workflow
Predict Wine quality with data analytics (Part 3) - LE BLOG DE QUELEANALYTICS
using machine learning with Amazon SageMaker
August | 2016 | educational research techniques
Something is wrong; all the Accuracy metric values are missing:" · Issue #160 · topepo/caret · GitHub
Caret Package - A Complete Guide to Build Machine Learning in R
generalized additive model - mgcv bam() summary tables differ by computer RAMs - Cross Validated
Model Explanation with BMuCaret Shiny Application using the IML and DALEX Packages | DataScience+
2 Cross-validation | Resampling method
Credit Card Fraud Detection Using Common Supervised Learning Algorithms | Zuzanna Liberto
Untitled
Compare The Performance of Machine Learning Algorithms in R
Engineering accuracy metric using caret package in R
Chapter 2 A Single Heatmap | ComplexHeatmap Complete Reference
Chapter 12 Machine Learning Recipes
Your First Machine Learning Project in R Step-By-Step
RPubs - Predicting Customer Brand Preferences
Revolutions: R
